Data Engineer

Senior Data Engineer

Tendios

Remote (Spain) or hybrid from Barcelona · Full-time

Tendios is the tender intelligence platform for the Spanish public procurement market. Companies use Bid to find, qualify and win public tenders. Public institutions use Create to draft and manage their own. Behind both products is one of the most complete datasets on Spanish public procurement: tenders, lots, CPVs, contracting bodies, resolutions and awards. It’s collected continuously from hundreds of public sources and enriched with AI.

That data is our product. We’re looking for the person who will own it end to end.

This is not a classic data architect role. You won’t just design schemas and hand them off. You’ll own Tendios data from the moment it’s scraped to the moment a customer sees it in Bid, asks Vera about it, or queries it through our MCP server. You’ll write the code, propose the features, and make the calls on how data is modelled, stored and exposed, including how it feeds our AI features.

You’ll report directly to the Head of Technology and work closely with product, the AI & Data squad and the backend squads.

Turn data into product

Own the data platform

Write and ship code

• 6+ years in software engineering, with at least 3 years focused on data-intensive systems.
• Strong Python and solid SQL. Deep, hands-on PostgreSQL experience: modelling, performance and migrations at scale.
• Comfortable working across the stack when needed, including reading and writing TypeScript/NestJS.
• Experience building and running production data pipelines, including event-driven or queue-based architectures (RabbitMQ, Kafka or similar).
• Experience with search or analytical stores such as Elasticsearch/OpenSearch or ClickHouse.
• A solid, hands-on understanding of how LLM applications work: RAG, embeddings and vector search, chunking strategies, prompt design, tool calling, and how to evaluate retrieval and answer quality. You’ve shipped at least one LLM or RAG feature to production.
• A product mindset. You look at a dataset and see features, and you can write a clear proposal and defend it with product and business stakeholders.
• Fluent Spanish and English
• Web scraping and document parsing at scale, including PDFs and messy semi-structured sources.
• Qdrant or other vector databases at scale, hybrid search and reranking.
• LLM observability and evaluation tooling (e.g. Langfuse), or running self-hosted open models (e.g. Qwen) on GPU infrastructure.
• Orchestration and ELT tooling such as Prefect, Airflow, dlt or dbt.
• Experience with large or legacy data migrations (MongoDB to PostgreSQL is a big bonus).
• Knowledge of public procurement, open data or regulated environments.
• Docker, and experience with cloud and hybrid infrastructure (Hetzner, DigitalOcean, AWS).

• Your work is the product. Better data means better tender matching, better answers from Vera and better decisions for our customers, and you’ll see that directly.
• Real ownership. You’ll help define the data strategy of a growing SaaS company, not execute someone else’s.
• Interesting problems. You’ll work on scraping at scale, entity resolution across public bodies and suppliers, polyglot persistence, and AI on top of a unique domain dataset.
• An engineering team organised in autonomous squads, with a modern stack and a pragmatic culture. Work fully remote from anywhere in Spain, or hybrid from our Barcelona office.